Abstract: Wellbore treatment fluids are provided that include an aqueous component and an amphiphilic hyperbranched copolymer comprising the polymerized reaction product of at least a first monomer and a second monomer, where the first monomer comprises at least one surface reactive end group chosen from the group consisting of carboxylates, phosphonates, sulfonates, and zwitterions. Also provided are methods of modifying subsurface energy of a carbonate formation using the wellbore treatment fluids.

Abstract: A device for collecting a biological sample in a subject, the device including an inflatable portion attached to a tubular member, and designed to expand from within the tubular member when inflated and to retract within the tubular member, a surface on the inflatable portion provided with varied thickness to facilitate movement of the inflatable portion between an expanded state and a retracted state, and a plurality of projections on the surface to allow collection of the biological sample when the inflatable portion is in the expanded state.

Abstract: Systems, methods, and media for displaying interactive augmented reality presentations are provided. In some embodiments, a system comprises: a head mounted display comprising: a transparent display; a plurality of sensors; and at least one processor, wherein the at least one processor is programmed to: select a content display location of a plurality of predetermined content display locations to use to present content based at least in part on a location of the head mounted display within a current physical environment; and cause content to be presented by the head mounted display anchored at the selected content display location.

Abstract: The present disclosure provides transmit/receive (T/R) systems for NMR or MRI systems. In one configuration, the systems and methods provided herein may use passively-shielded coils that are compatible with low-field operational environment to replace conventional T/R systems and spatial gradient systems. In some configurations, a low-field imaging T/R system is provided that is designed for nuclear magnetic stimulation and local flux sensitivity, while automatically rejecting incident radiant electromagnetic noise. The design advantageously leverages low required frequencies to distribute the pulse synthesis task, yielding a smaller system with easier maintenance and lower cost. The system may include distributed coil nodes that include a primary radiofrequency (RF) coil configured to transmit and receive RF signals and a secondary coil configured to passively shield the primary RF coil.

Abstract: Embodiments discussed herein facilitate determining a prognosis for keratoplasty based on segmented endothelial cells. One example embodiment comprises a computer-readable medium storing computer-executable instructions that, when executed, cause a processor to perform operations, comprising: accessing an optical microscopy image comprising a set of corneal endothelial cells of a patient of a keratoplasty; segmenting, based at least in part on a first model, a plurality of corneal endothelial cells of the set of corneal endothelial cells; calculating one or more features based on the segmented plurality of corneal endothelial cells; and generating, via a second model trained based at least on the one or more features, a prognosis associated with the keratoplasty.

Abstract: The disclosure provides methods for identifying genomic loci (e.g., vimentin and/or SqBE18) that are differentially methylated in metaplasias (e.g., Barrett's esophagus) and/or neoplastic cancers (e.g., esophageal cancers). Identification of methylated genomic loci has numerous uses, including for example, to characterize disease risk, to predict responsiveness to therapy, to non-invasively diagnose subjects and to treat subjects determined to have gastrointestinal metaplasias and/or neoplasias.

Abstract: As an example, a walker includes a first leg pair, a second leg pair and a cross beam connecting the first and second leg pairs in a parallel, spaced apart relationship. Each leg pair includes a U-shaped tube defining a front leg and a rear leg. A front strut is telescopically movable within the front leg and extends outwardly therefrom. A rear strut is telescopically movable within the rear leg and extends outwardly therefrom. A mechanical linear actuator includes a rotating element adapted to rotate relative to at least one of the front leg or the rear leg. The rotating element includes an interface with a track on the respective strut relative to which the rotating element rotates, whereby rotational motion of the rotating element translates to corresponding linear motion of the strut.

Abstract: Wellbore treatment fluids are provided that include an aqueous component and an amphiphilic hyperbranched copolymer comprising the polymerized reaction product of at least a first monomer and a second monomer, where the first monomer comprises at least one surface reactive end group chosen from the group consisting of carboxylates, phosphonates, sulfonates, and zwitterions. Also provided are methods of modifying subsurface energy of a carbonate formation using the wellbore treatment fluids.

Abstract: A method of promoting the generation of oligodendrocytes from oligodendrocyte precursor cells by enhancing their survival and/or maturation includes administering to the cell an effective amount of an agent that enhances and/or induces accumulation of 8,9-unsaturated sterols in the OPCs, the agent comprising a compound having the formula (I): wherein variables Y1, R1 and R2 are as defined herein.

Abstract: A transformable wheel assembly includes a spoke frame and a central gear coupled to the spoke frame. A plurality of legs are pivotably coupled to the spoke frame. The plurality of legs include an arcuate outer surface and an arcuate distal interior edge. A plurality of leg teeth are formed on the arcuate distal interior edge. The leg teeth engage the central gear such that the central gear drives the plurality of legs between a closed position and an open position based on a direction of rotation of the central gear.

Abstract: This disclosure provides an apparatus or system for the modulation of neural activity in the cervical sympathetic chain (CSC) or superior cervical ganglion (SCG) or SCG post-ganglionic branch(es) and for the treatment of sleep apnoea, as well as methods for their use.

Abstract: The present disclosure relates to methods for expanding and increasing the cytotoxic activity of natural killer cells comprising co-culturing, as feeder cells, a population of myeloid leukemia cells engineered to express one or more of membrane-bound IL-21 (mb IL-21) or membrane-bound IL-15 (mbIL-15) in the presence of cytokine support. The present disclosure also relates to a population of acute myeloid leukemia cells engineered to express one or more of membrane-bound IL-21 (mbIL-21) or membrane-bound IL-15 (mbIL-15). The present disclosure also relates to methods of treating cancer employing the step of expanding natural killer cells using feeder cells engineered to express one or more of membrane-bound IL-21 (mbIL-21) or membrane-bound IL-15 (mbIL-15).

Abstract: Embodiments discussed herein facilitate automated and/or semi-automated segmentation of endothelial cells via a trained deep learning model. One example embodiment is a method, comprising: accessing an optical microscopy image comprising a set of corneal endothelial cells of a patient of a keratoplasty; pre-processing the optical microscopy image to generate a pre-processed optical microscopy image via correcting for at least one of shading or illumination artifacts in the optical microscopy image; segmenting, based at least in part on a trained deep learning (DL) model, a plurality of corneal endothelial cells of the set of corneal endothelial cells in the pre-processed optical microscopy image; and displaying, via a graphical user interface (GUI), at least the segmented plurality of corneal endothelial cells.

Abstract: Disclosed is a pharmaceutical composition comprising a compound represented by Structural Formula (I): or a pharmaceutically acceptable salt thereof, and a pharmaceutically acceptable carrier or diluent. Also disclosed is a method of treating a myelin related disorder in a subject, the method comprising administering to the subject an effective amount of a compound of Structural Formula (I) or a pharmaceutical composition comprising the compound of Structural Formula (I). The variables of Structural Formula (I) are described herein.

Abstract: A first set of embodiments relates to an apparatus comprising one or more processors configured to: access three-dimensional (3D) ultrasound imaging of an eye; generate at least one segmented ocular structure by segmenting at least one ocular structure represented in the 3D ultrasound imaging using at least one deep learning ocular structure segmentation model configured to generate a predicted segmentation volume of the at least one ocular structure based on at least one portion of the 3D ultrasound imaging; compute at least one clinical metric associated with the at least one segmented ocular structure based on the at least one segmented ocular structure; and display at least one of: the at least one segmented ocular structure, the at least one clinical metric, the 3D ultrasound imaging, or at least one portion of the 3D ultrasound imaging.

Abstract: Systems, methods, and media for displaying interactive augmented reality presentations are provided. In some embodiments, a system comprises: a head mounted display comprising: a transparent display; a plurality of sensors; and at least one processor, wherein the at least one processor is programmed to: select a content display location of a plurality of predetermined content display locations to use to present content based at least in part on a location of the head mounted display within a current physical environment; and cause content to be presented by the head mounted display anchored at the selected content display location.

Abstract: Embodiments discussed herein facilitate determination of cancer stages based at least in part on shape, size, and/or texture features of cancer nuclei. One example embodiment is a method, comprising: accessing at least a portion of a digital whole slide image (WSI) comprising a tumor; segmenting (e.g., via a first deep learning model) the tumor on the at least the portion of the digital WSI; segmenting (e.g., via a second deep learning model) cancer nuclei in the segmented tumor; extracting one or more features from the segmented cancer nuclei; providing the one or more features extracted from the segmented cancer nuclei to a trained machine learning model; and receiving, from the machine learning model, an indication of a cancer stage of the tumor.

Abstract: Embodiments discussed herein facilitate determination of one of a probability of prostate cancer recurrence-free survival or a risk factor associated with prostate cancer based on intra-tumor stromal morphology. Example embodiments can perform operations comprising: accessing a digitized histological image of a prostate of a patient, wherein the histological image comprises a region of interest associated with prostate cancer; identifying nuclei of intra-tumoral stromal cells within the region of interest; extracting, for the region of interest of the digitized histological image, one or more features describing the structure of the intra-tumoral stromal cells; and generating, via a model based at least on the one or more features, one of a probability of prostate cancer recurrence-free survival or a risk score associated with prostate cancer for the patient based at least on the extracted one or more features.

Abstract: Embodiments classify lung nodules by accessing a 3D radiological image of a region of tissue, the 3D image including a plurality of voxels and slices, a slice having a thickness; segmenting the nodule represented in the 3D image across contiguous slices, the nodule having a 3D volume and 3D interface, where the 3D interface includes an interface voxel; partitioning the 3D interface into a plurality of nested shells, a nested shell including a plurality of 2D slices, a 2D slice including a boundary pixel; extracting a set of intra-perinodular textural transition (Ipris) features from the 2D slices based on a normal of a boundary pixel of the 2D slices; providing the Ipris features to a machine learning classifier which computes a probability that the nodule is malignant, based, at least in part, on the set of Ipris features; and generating a classification of the nodule based on the probability.

Abstract: Embodiments include accessing a set of digital pathology (DP) images having an imaging parameter; applying a low-computational cost histology quality control (HistoQC) pipeline to the DP images, where the low-computational cost HistoQC pipeline computes a first set of image metrics associated with a DP image, and assigns the DP image to a first or a second, different cohort based on the imaging parameter and the first set of image metrics; applying a first, higher-computational-cost HistoQC pipeline to a member of the first cohort; applying a second, different higher-computation-cost HistoQC pipeline to a member of the second cohort; where the first or second, higher-computational-cost HistoQC pipeline determines an artifact-free region of the member of the first or second cohort, respectively, and classifies the member of the first or second cohort, respectively, as suitable or unsuitable for downstream computation or diagnostic analysis based, at least in part, on the artifact free region.